GDIS: A global dataset of geocoded disaster locations
Spatial information on 39,953 locations for 9,924 natural disasters worldwide (1960-2018) including floods, storms, and droughts, geocoded as GIS polygons.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2021
What's inside
- Flood Data
What you can do with it
Typical work that data of this type supports.
- 01
Hazard maps
Map flood-prone areas and who and what is exposed.
Because it has: Flood Data
- 02
Model validation
Check flood models against observed events.
- 03
Drought indices
Track SPI and SPEI style indices for declarations and relief.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Flood extent from SAR
Segment flooded areas in radar imagery, even through cloud.
- 02
Depth estimates
Learn flood depth from terrain, rainfall and past events.
- 03
Onset forecasts
Predict drought onset months ahead from climate signals.
Machine access and documentation
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